Top Software Engineer Jobs

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

Develop and maintain C++ desktop applications that interface with motion capture systems. Collaborate with software, hardware, and QA engineers to build high-performance, real-time systems. Contribute to internal tools and pipelines using C++ and Python. Participate in code reviews, testing, and documentation.

Senior software systems engineer responsible for high-level design and oversight of software, hardware, and firmware systems. Lead Agile development, ensure quality and security standards, mentor engineers, manage multiple projects, support procurement, perform technical reviews, generate performance reports, and integrate emerging technologies into defense test and training environments.

As a Senior Backend Engineer at Posh, you will design and scale backend services, manage AI infrastructure, and collaborate on integrating AI features into products.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

Modernize and maintain Magnus and Goliath platforms across Java, Go, and JavaScript. Build AI-powered features (LLMs, tool-calling), integrate BigQuery, GCP, MySQL and internal APIs, diagnose production issues, write automated tests, and own projects end-to-end from design through deployment and support.

Lead North America execution of AI-first SDLC transformation and quality platforms for a multi-tenant SaaS identity product. Define system validation and quality platform strategy, enable agentic quality workflows, drive shift-left developer-owned testing, own CI/CD quality gates and telemetry, improve production readiness and release confidence, and hire and coach senior technical contributors while partnering across Dev, SRE, DevTools, Product, and AI teams.

Lead architecture and development of scalable full-stack applications and distributed backend services (TypeScript/React/Node/GraphQL). Drive technical strategy, cross-functional collaboration with manufacturing, robotics, and operations teams, establish engineering best practices, mentor engineers, and deliver production-grade, reliable, observable software for factory and manufacturing platforms.

Design, build, and maintain custom applications using Google AppSheet; integrate apps with Excel and SQL databases; gather requirements from stakeholders; implement workflows, dashboards, and data models; monitor and optimize app performance; provide user training and documentation; apply AI and process-improvement methods to automate and enhance PMO operations.

The role leads application systems analysis and programming, drives architecture strategy, evaluates technologies, and influences senior stakeholders in the investment domain.

As a Senior Full Stack Developer, you will build an AI voice agent SaaS platform, work across the stack, lead through code quality, and automate development processes.

Lead architecture, development, and operational health of enterprise applications and AI platforms. Mentor junior engineers, set coding and security standards, evaluate new technologies, perform code reviews, and drive platform reliability, performance, and documentation across the organization.

Lead developer enablement for firmwide developer tools: run demos, workshops, and office hours; create reusable examples and guidance; drive responsible adoption of AI coding tools; gather feedback for platform/product teams; advocate for developers across risk, tooling, and leadership; and help shape adoption strategy and enablement content.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.

Build and enhance LangSmith frontend features: implement user-facing UI with React and TypeScript, create reusable components, translate designs into high-quality code, optimize performance, and collaborate with backend engineers and designers to improve observability and evaluation workflows for LLM applications.

Lead AI engineering initiatives, develop AI systems, integrate LLMs, mentor teams, and collaborate on business requirements within agile frameworks.

The role involves building tools for AI-assisted software development, optimizing workflow, and maintaining secure development environments.

Lead and grow a software engineering team while delivering secure, scalable software. Drive execution, mentor engineers, manage vendor integrations, implement toolchains, monitoring, automation, and support production applications. Participate in technology evaluation, cross-team consistency, and learning activities.